Nowadays organizations are data-dependent. efficient management and retrieval of information play a crucial role in their success. A database is a collection of data that is organized, which is also called structured data. It can be accessed or stored in a computer system. It can be managed through a Database Management System (DBMS), a software used to manage data. DBMS is the most suitable technology that provides services like storing, organizing, and manipulating huge amounts of data.
The following are the main disadvantages of DBMS in File Processing:
- Data redundancy and inconsistency.
- Difficult in accessing data.
- Data isolation.
- Data integrity.
- Concurrency is not possible.
- Security Problems.
Because of the above disadvantages, it is necessary for large organizations to have an efficient database management system without the above drawbacks.
Purpose of Database System
In DBMS, database systems provide a safe and effective platform to manage vast amounts of data. Their role is to provide services like data organization, storage, and manipulation, as well as to guarantee data integrity. A database system’s primary goal is to facilitate data retrieval and provide a dependable storage platform for essential data.
- Efficient storage and retrieval are allowed by structured organization of data through database systems utilizing predefined schemas and data models.
- DBMS maintains the reliability and accuracy of the information and returns it through enforced constraints and rules defined in the database schema that eliminates data redundancy and anomalies, respectively.
- Protecting confidential data is crucial and database systems successfully achieve this with their safeguards against unauthorized access.
- Database systems prioritize the security of sensitive data with their solid mechanisms in place to preserve data confidentiality.
- The inclusion of strong security measures in database systems ensures the protection of sensitive data and upholds its confidentiality. Confidentiality and privacy of data are maintained by utilizing resilient security measures within database systems.
- Collaboration made easy with DBMS. With the provision of a platform to access and manipulate data, multiple users can now work together and ensure data consistency across various applications. Data sharing and collaboration are now synonymous with the help of DBMS.
- Data backups and transaction management are mechanisms provided by database systems to ensure data durability. Safeguarding data against system crashes and failures is their main priority.
Uses of DBMS
Various domains find wide-ranging applications in DBMS, including:
- Utilizing DBMS, organizations can effectively manage and store business-associated data, including inventory records, financial data, customer information, and sales transactions. This optimization of operations allows for improved customer service and efficient decision-making.
- DBMS is the engine behind e-commerce and retail operations, providing support to online platforms and retail networks with regard to inventory management, payment processing, product catalos, customer orders, and more. By ensuring smooth transactions and personalized shopping experiences, greatly enhances overall performance.
- In healthcare, utilizing DBMS is crucial for improved patient care, diagnosis, and treatment through access to comprehensive patient data. This plays a significant role in electronic health records (EHRs), patient management, medical imaging, and research.
- Educational institutions make use of DBMS for storing and generating student information systems, library management, and research databases. It aids in data analysis, reporting, and resource allocation.
- DBMS supports various governmental functions, including citizen databases, tax management, public safety systems, and administrative processes. It enhances efficiency, transparency, and accountability.
Applications of Database System
Database systems have a prominent effect in many industries which includes finance, telecommunications, logistics, manufacturing, entertainment, and more. They enable efficient data storage, retrieval, and analysis, for the user or the organization helping in fast and efficient decision-making.